Regression line on weight and result
With regression analysis we can check if there is a relationship between a dependent (also called outcome variable) and an independent variable. In this statistic, the relationship between the weight of a rider and the result (outcome) is investigated.
The formula for the regression line on the riders in the result is as follows:
The formula for the regression line on the riders in the result is as follows:
result = 3.5 * weight - 204
This means that on average for every extra kilogram weight a rider loses 3.5 positions in the result.
Begin
2
61 kgBouchard
6
61 kgRenaud-Tremblay
12
60 kgMartins
15
64 kgHarris
35
70 kgMartin
42
69 kg
2
61 kgBouchard
6
61 kgRenaud-Tremblay
12
60 kgMartins
15
64 kgHarris
35
70 kgMartin
42
69 kg
Weight (KG) →
Result →
70
60
2
42
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | BEGIN Mathis | 61 |
| 6 | BOUCHARD Alexis | 61 |
| 12 | RENAUD-TREMBLAY Sasha | 60 |
| 15 | MARTINS Henrique | 64 |
| 35 | HARRIS Patrick | 70 |
| 42 | MARTIN Nathan | 69 |